Automated Machine Learning for Beginners (Google & Apple)
Learn AI: Computer Vision, NLP, Tabular Data - build powerful models with Google AutoML & Apple CreateMLBegin your AI journey with Automated Machine Learning!
This course focuses on giving you the big picture of Artificial Intelligence: the streamlined process of creating AI machine learning models. Leave the mathematical equations and Python coding aside and concentrate on what really matters!
Course Architecture guarantees Best Cognitive Learning Outcomes
Richard Shinn, PhD in AI and CEO of AIBrain, is the Chief Architect behind this course. He designed the entire course structure to help learners acquire cognitive skills; learning by examples first, then learning based on denotational semantics and operational semantics. This two-step approach is particularly useful when we deal with the complexity of real-world problems.
Learn Hands-On
From day 1, you will learn hands-on skills. You will follow our lab instructors to build Machine Learning models with AutoML. By the end of the course, you will be able to build a working AI-powered mobile app. Following Richard Feynmanās principle āWhat I cannot create, I do not understandā we teach practical knowledge from day one.
Deepen your Skills
To make sure that you will get a deep understanding of all the topics, you will have practical homework assignments accompanying all labs. Each lab has its own homework assignments to help you deepen the skills learned during the course.